| LNBI is devoted to the publication of state-of-the-art research results in bio-informatics and computational biology, at a high level and in both printed and electronic versions - making use of the well-established LNCS publication machinery. As with the LNCS mother series, refereed proceedings and post- proceedings are at the core of LNBI, however, similar to the color cover sub- lines in LNCS, tutorials and state-of-the-art surveys are also invited for LNBI. Among the topics covered are： Genomics；Molecular sequence analysis；Recognition of genes and regulatory elements；Molecular evolution；Protein structure；Gene expression；Gene networks；Combinatorial libraries and drug design；Computational proteomics. |
| Invited Talks Commercial Applications of Machine Learning for Personalized Wireless Portals Learning, Collecting, and Using Ontological Knowledge for NLP Hidden Variables in Knowledge Representation Intellimedia Systems: Research and Applications at the Intersection of Multimedia and Artificial Intelligence Integration of Multimedia and Art for New Human-Comptiter Communications Logic and AI Foundation R-UNSEARCHMO: A Refinement on UNSEARCHMO Deontic Relevant Logic: A Strong Relevant Logic Approach to Removing Paradoxes from Deontic Logic Solving the Ramification Problem: Causal Propagation in an Argumentation-Theoretic Approach Representation and Reasoning of Actions Representing Actions over Dynamic Domains Consistency of Action Descriptions Solving Factored MDPs with Large Action Space Using Algebraic Decision Diagrams Dynamic Fuzziness Constraint Satisfaction Distributed Reinforcement of Arc-Consistency Parallel Execution of Stochastic Search Procedures on Reduced SAT Instances Two Transformations of Clauses into Constraints and Their Properties for Cost-Based Hypothetical Reasoning Foundations for Agents Hidden Markov Modeling for Multi-agent Systems Modelling PRS-Like Agents' Mental States Genetic Algorithm and Social Simulation Foundations for Learning Adaptive Directed Acyclic Graphs for Multiclass Classification Network Optimization through Learning and Pruning in Neuromanifold DIC: A Novel Discrete Incremental Clustering Technique for the Derivation of Fuzzy Membership Functions Reinforcement Learning Application of Episodic Q-Learning to a Multi-agent Cooperative Task …… Knowledge Acpuistion and Management Data Mining and Knowledge Discovery Neural Network Learning Learning for Rlbots Multi-agent Applications Bayesian Network Document Analysis and Categorization Internet/Wde Intelligence and Bioinformatics Intelligent Learning Environments Face Recognition Multimedia and Emotion Poster Papers Author Index |
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